158 results about "Average signal to noise ratio" patented technology

A Channel Quality Indicator table for wireless multiple input multiple output (MIMO) networks is disclosed. In one embodiment, a method of generating a table for channel quality indicator (CQI) for an open loop MIMO transmission includes calculating performance of a link between a transmitter and a user end unit for each MIMO transmission mode over a range of average signal-to-noise ratio, and selecting the MIMO transmission mode that maximizes performance for each subset of the range of average signal-to-noise ratio. The method further includes storing the selected MIMO transmission mode and the corresponding subset of the range of average signal-to-noise ratio in a CQI table, the CQI table being stored in an user end unit and a base transceiver station of the open loop MIMO network.

The disclosed speech recognition anti-noise method based on adaptive nonlinear spectrum reduction comprises: detecting speech, if average SNR over set threshold, recognizing as speech information, or else as noise information; updating current noise estimation according to noise frame in last step for the first spectrum reduction calculation to obtain the speech with high SNR; then, taking the second calculation to further eliminate noise.

The invention relates to a hybrid automatic gain control device for a multimode system, which comprises a multimode system control module, a power calculation module, a DATT(digital attenuator) control module, a delay module, a digital down converter module and a gain compensation module, wherein the multimode system control module is used for initializing a mode control signal and a gain compensation control signal; the power calculation module is used for calculating a power of A / D (Analog to Digital) converter data according to the mode control signal; the DATT control module is used for calculating according to the input power to obtain a DATT control signal and regulating an attenuation stepping value of a DATT; the delay module is used for carrying out delay processing on the attenuation stepping value; the digital down converter module is used for processing the A / D converter data to obtain a plurality of single-mode digital signals; and the gain compensation module is used for respectively carrying out gain compensation processing on the single-mode digital signals by using the attenuation stepping value subjected to delay processing according to the gain compensation control signal. The invention also provides a hybrid automatic gain control method. By the hybrid automatic gain control method and the hybrid automatic gain control device, the sensitivity can be prevented from being influenced by the saturation of an ADC (Analog to Digital Converter) or an excessively low power caused by the rapid variation of an uplink signal power, and higher average signal to noise ratio performance is obtained.

The invention provides a visualization method of radio signal data. The visualization method of the radio signal data comprises a first step of obtaining the radio signal data extracted from frequency spectrum data and original electric level sampling data; a second step of drawing a frequency-bandwidth scatter diagram; a third step of clustering the radio signal data by using a clustering algorithm; a fourth step of dividing time slices; a fifth step of calculating an average center frequency, an average bandwidth, an average signal-to-noise ratio and an average signal intensity of each time slice for each cluster; and a sixth step of drawing a signal flow diagram. Multiple characteristics of radio signals are coded efficiently by utilizing the signal flow diagram, multiple types of important characteristics of relatively scattered signal data at a time frequency are shown smoothly, a multi-characteristic time-varying mode of the radio signal is shown in a better manner, and a macroscopic perceiving efficiency of an analyzer for the radio signal time-varying mode is speeded up.

The invention provides an EMD (Empirical Mode Decomposition) based normalization bistable stochastic resonance weak signal detection under oversampling and belongs to the field of signal processing technology. According to the invention, EMD and normalization stochastic resonance are combined into a new system. Signal mode component is superposed for parameter normalization on the basis of EMD ofnoisy signals, so that noisy signals are enabled to meet requirements for stochastic resonance small parameters and are sent to a stochastic resonance system. Whether obvious peaks exist or not is observed through observing a spectrogram and the average SNR gain is calculated. The SNR increases to some extent after EMD and increases once more after stochastic resonance. The total increase is greater than that of using stochastic resonance independently. The EMD based normalization bistable stochastic resonance weak signal detection under oversampling disclosed by the invention has universal meaning in practical application, reduces parameter adjustment complexity and solves a problem that large frequency cannot meet requirements for stochastic resonance.