11 results about "Quantization distortion" patented technology

The invention relates to the technical field of digital playing equipment, and provides a lossless control method for the volume of a digital player and the digital player. The method comprises the following steps of: after receiving a target volume parameter, executing dynamic multiplying power oversampling and high-order noise shaping on an input digital audio signal, and injecting preset jitter to suppress in-band quantization distortion so as to generate an optimized digital audio stream; meanwhile, a high-resolution digital reference current control instruction corresponding to the target volume is independently generated, output of a reference current source is adjusted according to the high-resolution digital reference current control instruction, and a high-precision differential current signal is obtained by combining nonlinearity, temperature excursion and quantization errors of a closed-loop feedback compensation device through a multi-bit current segmentation network; performing bias stabilization processing on the signal, and converting the signal into a differential voltage signal for suppressing common-mode noise through a precision differential resistance network; and finally, low-distortion differential analog audio signals capable of directly driving a load are output through low-distortion gain, impedance conversion and power driving, so that low-distortion, high-signal-to-noise-ratio and wide-dynamic-range output in a full-volume range is realized.

The application provides a channel estimation method and device of a MIMO system, electronic equipment and a storage medium, and relates to the technical field of wireless communication. The method comprises: inputting a quantized received signal of a receiving end of the MIMO system into a channel estimation model to obtain a predicted channel of the quantized received signal output by the channel estimation model; wherein the channel estimation model is used for denoising and correcting the quantized received signal to obtain a preprocessed quantized received signal; and iteratively calculating the predicted channel according to the preprocessed quantized received signal, an initial virtual angle basis matrix of a transmitting end, an initial virtual angle basis matrix of a receiving end, an initial residual error, an initial channel estimation value and an initial loss value. The application can effectively suppress nonlinear quantization distortion and improve the accuracy of channel estimation by iteratively solving the predicted channel. The statistical characteristics contained in the quantized received signal can be fully tapped by denoising and correcting the quantized received signal, and the quantization error can be eliminated.

This invention discloses an adaptive dual-image reversible information hiding method based on a Sudoku matrix. First, an original carrier image is copied twice, and a Sudoku reference matrix is ​​established. Next, the secret information of the binary random bit string is divided into groups of 6 bits each, and each group is converted into two octal secret numbers. A pair of pixel values ​​from the original carrier image is mapped onto the Sudoku reference matrix, establishing a quantization distortion model. Then, based on the quantization distortion model, the optimal distance threshold and optimal embedding strategy are determined, and two cryptic images are generated. Finally, two receiving ends establish the same Sudoku reference matrix as the sending end, recover the pixel pairs of the original carrier image, traverse all pixel pairs of the cryptic images, and convert the extracted secret numbers into binary bit strings. This invention significantly improves image visual quality, is very simple and practical to operate, and effectively enhances the security of information transmission.

This invention belongs to the field of video coding and image processing technology, specifically relating to a multi-level dual-stream pulse wavelet fusion panoramic video quality enhancement method, comprising the following steps: 1. Acquiring the original high-quality panoramic video image, performing video coding standard compression processing to generate a compressed low-quality panoramic video image; 2. Performing shallow feature extraction and mapping it to a high-dimensional feature space to obtain shallow features; 3. Performing feature splitting, inputting it into the parallel global and local stream branches of the pulse-driven biomimetic quality enhancement model SWFN for feature extraction; 4. Performing channel stitching, using fusion convolution for feature interaction and compensation, and outputting the fused features; 5. Performing residual connection and reconstruction, outputting a quality-enhanced panoramic video frame. This method can more accurately eliminate the block artifacts and quantization distortion caused by VVC coding compression, improving the reconstruction quality of ultra-high-definition panoramic video.

The invention provides a performance analysis method and device of an RSMA cellular-free network under a non-ideal transmission condition. The method comprises the following steps: constructing a channel model of an RSMA cellular-free network under a non-ideal transmission condition considering channel aging and phase noise; the method comprises the following steps: obtaining a quantized pilot frequency receiving signal described based on a quantized distortion coefficient based on a pilot frequency signal received by an access point in an uplink pilot frequency training stage, and carrying out LMMSE channel estimation on the quantized pilot frequency receiving signal by utilizing a channel model to obtain uplink channel state information; the method comprises the following steps of: splitting, coding and pre-coding a user message by using uplink channel state information according to an RSMA (Received Signal Moving Average) strategy so as to calculate a quantized received signal expression of a user side after ADC (Analog-to-Digital Converter) quantization; calculating an expression of a downlink reachable rate of the RSMA cellular-free network based on the quantitative received signal expression; and evaluating the communication performance of the RSMA cellular-free network under the non-ideal transmission condition based on the expression of the downlink reachable rate.

This invention provides an image decoding method, encoding method, and apparatus that solve the problem of large quantization distortion in image encoding and decoding processes. [Solution] An image decoding method, encoding method and apparatus relating to the field of video encoding and decoding. The decoding method includes the steps of: first, analyzing a bitstream to obtain one or more image frames, wherein one image frame includes one or more CUs; ​​second, determining a plurality of QP values ​​for the one image frame, wherein one CU includes a plurality of QGs, and one QG corresponds to one QP value; and finally, decoding the one image frame based on the plurality of QP values.

The invention provides a video compression method and system based on a disordered hidden just noticeable distortion model, and the method comprises the steps: carrying out the improved CSLBP calculation after partitioning an input video frame, and carrying out the weighted calculation of the texture complexity of each image block according to the grouping CSLBP intensity corresponding to each image block; according to the texture complexity, on the premise of not considering quantization distortion, calculating a value corresponding to each image block; and calculating a JND value corresponding to each image block according to the value on the premise of considering quantization distortion, and performing coding preprocessing on the video frame according to the JND value, so as to reduce gray value redundant information of a corresponding position of the video frame and remove visual redundancy in the video frame to obtain a coded video frame. According to the method and the device, the technical purpose that the image cannot be perceived is achieved, the technical problem of the requirement for high bandwidth in the video image transmission process is solved, and enough compression gain can be obtained while the coding efficiency is improved.

The invention provides a multi-analog-to-digital converter branch terahertz single-bit quantization communication signal detection method, which relates to the technical field of communication, and comprises the following steps: S1, constructing a terahertz single-bit quantization communication system with a plurality of analog-to-digital converter branches, each analog-to-digital converter branch comprises a phase rotation module and an analog-to-digital converter which are connected in sequence, the phase rotation modules of different analog-to-digital converter branches have different phase rotation angles; s2, representing a communication system by using a vector value factor graph; and S3, performing vector approximate message passing on the vector value factor graph, iteratively calibrating the estimation of the noise-free receiving signal, and finally realizing the detection of the sending symbol. According to the invention, reliable signal detection can be realized under the influence of single-bit quantization distortion, and the detection performance is effectively improved.

The application provides a multi-analog-to-digital converter branch terahertz single-bit quantization communication signal detection method, relates to the technical field of communication, and comprises the following steps: S1, a terahertz single-bit quantization communication system with a plurality of analog-to-digital converter branches is constructed; the analog-to-digital converter branch comprises a phase rotation module and an analog-to-digital converter connected in sequence; and the phase rotation modules of different analog-to-digital converter branches have different phase rotation angles; S2, a vector-valued factor graph is used to represent the communication system; S3, vector approximation message passing is performed on the vector-valued factor graph, and estimation of a noiseless received signal is iteratively calibrated, so that detection of a transmitted symbol is finally realized. The application can realize reliable signal detection under the influence of single-bit quantization distortion and effectively improve detection performance.

The invention discloses an image coding circuit and an image coding method for calculating quantization distortion in a frequency domain, and relates to the technical field of image coding. The image coding method comprises the following steps: calculating a pixel difference value between a prediction pixel and a current pixel; performing discrete cosine transform on the pixel difference to generate a discrete cosine transform coefficient; quantizing the discrete cosine transform coefficient to generate a quantized value; storing the quantized value in a storage circuit; calculating a quantization distortion based on the quantization value and a quantization step size; calculating a bit rate based on the quantized value; generating a prediction mode based on the quantization distortion and the bit rate; reading the quantized value from the storage circuit based on the prediction mode; performing an inverse quantization operation on the quantized value to generate an inverse quantized value; performing inverse discrete cosine transform operation on the inverse quantized value to generate an inverse discrete cosine transform coefficient; and generating a reconstructed pixel based on the current pixel and the inverse discrete cosine transform coefficient.

This invention relates to the field of speech signal processing technology and discloses a voiceprint recognition processing method for dispatching telephone calls. The method includes: acquiring digital speech signals from dispatching calls and converting them into frequency domain acoustic feature sequences; statistically aggregating and generating hybrid feature vectors using a deep neural network model; calculating the spectral entropy values ​​of each frequency band and constructing a feature weight matrix; performing weighted multiplication on the hybrid feature vectors using the weight matrix to obtain a weighted voiceprint vector; constructing an orthogonal projection operator using a preset channel subspace basis vector set; performing matrix multiplication on the weighted voiceprint vector and the orthogonal projection operator, filtering out channel projection components while using weight distribution to block the spread of high spectral entropy frequency band noise, resulting in a decoupled voiceprint vector; calculating similarity and outputting instructions. This invention solves the feature manifold shrinkage problem caused by nonlinear quantization distortion through the synergy of spectral entropy physical gating and algebraic geometric projection.