dsp1

模糊控制永磁同步电机，在模糊控制器作用下，控制电机转速。(Fuzzy control of permanent magnet synchronous motor, in the fuzzy controller under the control of motor speed.)

Channel coding matlab codes, cyclic codes anc conv codes, encoders and decoders

matlab的GPS工具箱，亲测可用，内附使用说明(GPStoolbox of matlab)

人脸识别中的光照处理方法，使用混沌与分形分析的例程，实现了图像的灰度化并进一步用于视频监视控。( Face Recognition light treatment method, Use Chaos and fractal analysis routines, Achieve a grayscale image and further control for video surveillance.)

数字频带通信系统 输入：首先输入模拟信号，给出此模拟信号的时域波形。 数字化：将模拟信号进行数字化，得到数字信号，可以选择PCM编码。 调制：可以选择简单的二进制数字调制方式。例如振幅键控(2ASK)、相移监控（2PSK）、频移键控（2FSK）、差分相移键控（DPSK）等。要求每个题目至少选择两种调制方式。有能力的同学也可以选择其它高效的调制方式?例如多进制数字振幅键控等?给出调制后信号的时域波形。 信道：假定信道属于加性高斯信道?或自行设计。 解调：相应的2ASK、2PSK、2FSK、DPSK解调，仿真获得解调输出波形。 PCM解码：给出解码后的模拟信号的时域波形，并与输入信号进行比较。 系统性能分析：比较在不同调制方式下，该数字频带传输系统的性能指标，即该系统的输出误码率随输入信噪比的变化曲线。(Digital frequency band communication system)

(1) 在某些无线信道中，多普勒频移会引起无线信道输出信号的混叠。请描述产生混叠的各种原因； (2) 无线信道中的多普勒谱有一种经典谱(classic spectrum)，请解释产生这种谱形状的机理； (3) 请用Simulink工具编写代码(S-Function方式)，产生一单径瑞利信道，其多普勒谱为经典谱，其中移动速率为120km/h。并请回答：证明自己用计算机产生的经典谱是正确的可能方法。 ((1) in certain wireless channel, the Doppler frequency shift will be caused by wireless channel output signal aliasing. Please describe the resulting aliasing of a variety of reasons (2) wireless channel Doppler spectrum there is a classical spectrum (classic spectrum), please explain such a spectral shape of the mechanism (3) Please use Simulink tools for writing code ( S-Function mode), resulting in a single Path Rayleigh channel, the Doppler spectrum for the classical spectrum, including mobile rate of 120km/h. And please answer: prove that they used computer-generated classical spectrum is correct possible ways.)

利用数据拟合概率密度函数 建立可靠度分析所需的概率分布函数(There is one outlier in the data of , but is not of data .For and the line of Q2 is in the middle of the box, so there are not asymmetries for both and .)

matlab 实用程序，非常不错，内容丰富，适合广大初学者(Matlab practical procedures, very good, rich in content, suitable for the majority of beginners)

In this section, the PAPR performance of the proposed algorithms is shown. To evaluate the PAPR performance, the CCDF is employed. The specification detail of simulation parameters is given in TABLE I. In Fig. 5 is shown the PAPR with a PTS method (U = 8) and conventional PTS (U = 4) are improved 4.3 dB and 2.6 dB from ordinary MIMO-OFDM signal when CCDF = 10− 4 respectively and Fig. 6 is shown the PAPR with an optimal PTS method in case of 128 subcarriers.

MATLAB神经网络多个案例分析及详细源代码(MATLAB neural network multiple case studies and detailed source code)