yunsuanqi

使用matlab书籍，简单易学，对初学者来说是很不错的一本书(a book for matlab user. It is simple to understand and easy to get into using it.)

说明：  Grtzl算法计算dft的matlab程序和lms算法的自适应窄带滤波的程序。(Dft algorithm Grtzl the lms algorithm matlab procedures and narrow-band adaptive filtering process.)

数字预失真的LS算法，利用LS算法提取预失真参数(LS digital pre-distortion algorithm, using LS algorithm extracts the predistortion parameters)

卷积神经网络（CNN）算法，含有训练程序和测试程序 (CNN method by matlab,including the training data and the testing method)

可以对振动试验数据进行批量处理，如滤波、消除趋势项、积分等(Vibration test data can be batch processing, such as filtering, to eliminate the trend items, points, etc.)

说明：  sigma点卡尔曼滤波在跟踪中的应用，能够实现较好的跟踪效果(sigma point Kalman filter in tracking application, can achieve better tracking)

说明：  在多用户干扰情况下，仿真IR-UWB系统的性能。(In the case of multi-user interference, simulation IR-UWB system performance.)

仿真对象如下： 其中， v( k )为服从N (0,1) 分布的白噪声。输入信号u ( k) 采用M 序列，幅度为 1。M 序列由 9 级移位寄存器产生，x(i)=x(i-4)⊕x(i-9)。 选择如下辨识模型： 加权阵取Λ = I。 衰减因子β = 0.98，数据长度 L = 402。 辨识结果与理论值比较，基本相同。辨识结果可信 (he simulation object is as follows: among them, v (k) to obey N (0, 1) distribution of white noise. The input signal u (k) using M sequence, amplitude is 1. M sequence by 9 level shift register generation, x (I) = x (I- 4) ⊕ x (I- 9). Choose the identification model: weighted array take Λ = I. Attenuation factor β = 0.98, the data length L = 402. Identify the theoretical calculation and comparison, basically the same. Identification results are reliable)

This is a simple code for create window

包含霍夫曼编码，算数编码，LZ编码以及GUI界面(Include Huffman coding, arithmetic coding, LZ coding and GUI interface)