4 results about "FastICA" patented technology

The application particularly relates to a radar main lobe interference suppression method based on direction constraint, which realizes suppression of interference and separation of target echo in a main lobe suppression type interference scene by embedding array manifold vectors into FastICA fixed point iteration and applying direction constraint to the separation vectors after each update so that the separation vectors are always focused on a target angle subspace.

Disclose a multiscale retinex and FASTICA combined infrared thermal image processing method, including the following steps: laser infrared thermal imaging; FASTICA image processing; multiscale Retinex image noise reduction; signal-to-noise ratio calculation.The FASTICA infrared thermal image processing method based on Retinex can enhance the infrared thermal image to display the key information of the image, and the effect of laser infrared nondestructive testing has obvious visual improvement, and other types of image optimization processing can also be carried out by this method.

This invention belongs to the field of online detection technology for metal impurities in food, and particularly relates to an intelligent sensing-based online detection method and system for metal impurities in food. It simultaneously transmits and receives multiple discrete frequency band electromagnetic signals, generating a multi-dimensional original signal matrix by leveraging the differences in their responses to metals, food, packaging, and the environment. Based on the fusion application of an improved FastICA blind source separation algorithm and wavelet packet transform, a multi-frequency feature-blind source separation dual-layer model is constructed. The effectiveness of signal separation is verified using a multi-scenario standard signal feature library and cosine similarity matching. After feature extraction and combined dimensionality reduction processing, the output is fused through a hybrid model of traditional machine learning and lightweight deep learning. The D-S evidence theory is introduced and combined with real-time parameters from the production line to dynamically adjust the decision rules.

This invention discloses a single-channel mixed signal demodulation method based on oversampling. First, the mixed signal of BPSK and 16QAM signals received in a PCMA communication system is processed to construct a multi-channel blind source separation model. The signal from the multi-channel blind source separation model is then centered and whitened to reduce the computational cost of FastICA. Then, FastICA is used to extract independent components. Finally, based on the obtained independent components, a phase-locked loop is used to extract baseband information to obtain the baseband signal. This invention effectively solves the problem of high bit error rate after separating and demodulating mixed signals in a single-channel environment. This invention utilizes the orthogonality of carriers, which further improves the demodulation performance of single-channel mixed signals when the sampling factor is increased. Compared with time-domain filtering methods, frequency-domain notch filtering methods, empirical mode decomposition methods, and wavelet decomposition methods, this method has better demodulation performance and a lower bit error rate.