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HDLImplementationoftheVariableStepSize
- proposes a Verilog implementation of the Normalized Least Mean Square (NLMS) adaptive algorithm, having a variable step size. The envisaged application is the identification of an unknown system. First the convergence of derived LMS algorithm
my_lms
- 自适应滤波，对输入信号进行选择性的加权处理，使输出达到最优化，并且能够跟踪和适应系统和环境的动态变化-Least mean square，of the input signal processing, selective weighted output, and optimize can track and adapt to the dynamic changes of the system and environment
LinPF
- This a VHDL module that implements linear prediction filter based on NLMS (normalized least mean square). The module takes complex signal as input and output comlex signal (real and imaginary). Tap size is 4, bit precision is set to 12 bits.-This i
LinPF_RLS
- VHDL code for linear prediction filter based on RLS (recursive least square). Filter order is set to 4, bit precision set to 12 bits for input and output. Signals are complex signals.
fir_pipeline_lms
- verilog语言编写LMS（最小均方误差）自适应滤波器。-verilog language LMS (least mean square error) adaptive filter.
fir_lms
- verilog语言编写LMS（最小均方误差）自适应滤波器。-verilog language LMS (least mean square error) adaptive filter.
adaptive_lms_equalizer_latest.tar
- least mean square algorithm for error correction coding technique
Least_Squares
- 基于FPGA两种基于非线性最小二乘法的电力系统频率跟踪方法，搜索算法和Levenberg-Marquardt算法。- least square method FPGA
hola mundo2
- hat the image I was created by convolving a true image with a % point-spread function PSF and possibly by adding noise. The algorithm % is optimal in a sense of least mean square error between the % estimated and the true images
LMS
- least mean square algo implemented on verilog