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nlms.rar
- 归一化最小均方（LMS）自适应数字滤波，带测试主程序。,Normalized least mean square (LMS) adaptive digital filter with the test main program.
Lms_C_Fixed
- 使用C语言实现LMS最小均方误差的自适应滤波器-Using the C language to achieve the minimum mean square error LMS adaptive filter
lms2
- this algorithm based on least mean square -this is algorithm based on least mean square
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
sqrt_for_single_float_point
- 用verilog实现了基于中值定理求解单精度浮点开方的功能，希望对大家学习有所帮助-With verilog implemented based on the mean value theorem to solve single-precision floating point square root function, we want to study and help ... ...
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
Lms_Asm_Fixed
- 使用汇编语言实现定点的LMS最小均方误差的自适应滤波器-Designated the minimum mean square error LMS adaptive filter assembly language
equalizer_self_adaption
- 自适应均衡领域的经典算法，最小均方误差算法（LMS）算法的数字均衡器建模源代码。建模建立了一个通信系统的收发两端，并模拟了信道衰减和噪声。并在接收端使用了数字均衡器。主程序中一次在接收端使用了自适应均衡器，另一次没有使用，可以清楚看到均衡前后误码率的差别。-The field of classical adaptive equalization algorithm, the minimum mean square error algorithm (LMS) algorithm for model
SPEECHX
- . The normalized least mean square is the most popular due to its simplicity. The stability of the basic NLMS is controlled by a fixed step size. This parameter also governs the rate of convergence, speed of tracking ability and the amount of steady-
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
yingpang
- Minimum mean square error MSE calculation algorithm, It contains positional PID algorithm, integral separate PID, Thermonuclear using weighting factor.
fang_tp32
- Car class-based truck driver trying to Matlab program, ML estimation method can be a good signal to noise ratio, Minimum mean square error (MMSE) algorithm.
8578
- GSM is GMSK modulation signal generation, Minimum mean square error MSE calculation algorithm, Own five modulation signal.
df773
- There Wavelet Analysis Blind Signal Processing, Minimum mean square error (MMSE) algorithm, Chaos-based simulated annealing algorithm.
sankan_v53
- Algorithm optimization is very good, almost no circulation, Minimum mean square error MSE calculation algorithm, Single path or multipath Rayleigh fading channel simulation.
auadn
- Minimum mean square error MSE calculation algorithm, Analog data analysis processing, Is a practical method of path planning.