33results about How to "Improve signal processing efficiency" patented technology

The invention discloses an electric cochlea speech processor and processing method with signal compression in a wide dynamic range. The electric cochlea speech processing method comprises the following steps that: a processing unit performs pre-emphasis processing and frequency division processing on transmitted acoustic signals by a frequency division module, and processing results are combined into M channels; according to a comfortable threshold parameter or a perception threshold parameter measured in advance of the M channels of an electric cochlea implanted person, a compression unit calculates an acoustic signal intensity parameter corresponding to an electric stimulation perception threshold or an acoustic signal intensity parameter corresponding to a comfortable threshold by an acoustic-electric compression function; then by adopting the parameter as an inflection point, and according to a compression curve in the wide dynamic range enveloped by a frequency spectrum, the compression unit calculates sound intensity after compression of each channel; and finally, after wide-dynamic compression, output sound intensity is subjected to acoustic-electric stimulus compression and then is output. The electric cochlea speech processor enhances signal processing efficiency and improves individual speech recognition ability of the electric cochlea implanted person.

The invention relates to a sparse observation method for interference suppression of compressed sensing radar. According to the characteristics of compressed sensing radar, starting from the perspective of observation matrix design, using a structured observation matrix, firstly modulate and add phase modulation to each transmitted pulse of compressed sensing radar, thereby Effectively separate the real target echo and interference signal, and then suppress the interference signal while accumulating the target echo, and improve the signal-to-interference ratio; at the same time, the sparse sampling observation matrix is ​​used to further compress the interference suppression observation data, and further improve the compressed sensing The signal processing efficiency of the radar; then an optimization solution problem for interference suppression observation is proposed, and the efficiency of solving the optimization problem is improved by adding constraints; finally, by solving the sparse optimization problem, the compressed sensing radar under the background of interference is realized. The target parameters can be accurately estimated, so as to actively suppress the space interference signal, and improve the target detection performance of the compressed sensing radar under the interference background.

The invention relates to a driving-and-driven combined boosting type flexible lower limb exoskeleton. The driving-and-driven combined boosting type flexible lower limb exoskeleton comprises a foot (1), a shank (3), a thigh (5) and a back frame (7), and the shank (3) is rotatably connected with the foot (1) through an ankle joint (18). The driving-and-driven combined boosting type flexible lower limb exoskeleton is characterized in that the lower end of the shank (3) is connected with an ankle joint pressing plate (9), the ankle joint pressing plate (9) abuts against an ankle joint spring (2) for foot boosting, the ankle joint spring (2) is installed in a spring base (201), and the spring base (201) is fixedly connected with the foot (1); the upper end of the shank (3) is hinged to the lower end of the thigh (5) through a knee joint (19); the upper end of the thigh (5) is connected with the back frame (7) through a hip joint (6). The driving-and-driven combined boosting type flexible lower limb exoskeleton is simple in structure and convenient to control.

The invention discloses a signal processor of a Doppler weather radar. The signal processor comprises a signal processing unit, wherein the signal processing unit comprises a signal receiving module,a signal storage module, a signal analysis module, a filtering module, a signal processing module, a quality control module and a parameter configuration module. The signal processor solves the problem that the difficulty in research and development as well as simulation debugging of a signal processing algorithm is great, the improvement and function upgrading of the signal processing algorithm are difficult, a universal server is used as a hardware platform of the signal processing unit, the operation speed is fast and the expansibility is high, a software-based design is adopted, functionsof a radar system are enhanced or expanded through reconstruction and continuous improvement of software, and rapid diversification detection is achieved.

The invention provides a design method of a separable two-dimensional FIR filter with sparse coefficients, which involves an iterative reweighting l 1 A sparse algorithm combining norm and greedy search technique. The present invention is different from the method in the past, has used sparse algorithm in the design of separable two-dimensional FIR filter for the first time, because the frequency response function of separable two-dimensional FIR filter is a non-convex problem, l 1 The norm method cannot be directly applied, so the present invention solves this problem by fixing some coefficients while maximizing the number of zero-valued coefficients in the remaining coefficients. The invention has the advantages of reducing the hardware complexity of the two-dimensional FIR filter, improving the signal processing efficiency, and integrating the trust region iterative gradient search technology in the design process, so that the coefficients of the filter are more accurate, and the obtained The filter performance index is more superior.