信号与系统实验2：信号的矩形脉冲抽样与恢复

这是信号与系统的实验报告。我信号与系统总共就扣了几分，也不知道是期末扣的，还是实验扣的。即使全是实验扣的，这实验也算做的挺好的。于是把报告发出来给大家参考。 这是第二个实验，信号的矩形脉冲抽样与恢复

一、实验结果展示

各频域图像

  1. \(F(\omega)\)原始频域图像

    image-20220604130549021

  2. \(0.2\text{Hz}\)采样频域图像

    image-20220604130602889

  3. \(0.5\text{Hz}\)采样频域图像

    image-20220604130625486

  4. \(1\text{Hz}\)采样频域图像：

    image-20220604130636810

  5. \(0.2\text{Hz}\)采样滤波后频域图像：

    image-20220604130648381

  6. \(0.5\text{Hz}\)采样滤波后频域图像：

    image-20220604130659596

  7. \(1\text{Hz}\)采样滤波后频域图像：

    image-20220604130713220

各时域图像

  1. \(F(\omega)\)傅里叶反变换后时域图像：

    image-20220604130724746

  2. \(0.2\text{Hz}\)采样滤波后恢复的时域图像

    image-20220604130735531

  3. \(0.5\text{Hz}\)采样滤波后恢复的时域图像：

    image-20220604130746852

  4. \(1\text{Hz}\)采样滤波后恢复的时域图像

    image-20220604130758457

二、实验结果分析

由奈奎斯特抽样定理，一个带限信号\(f(t)\),如果其频谱存在在频域（角频率）区间\([-\omega_m,\omega_m]\)，则可用抽样值唯一表示\(f(t)\),抽样值的间隔不能大于\(T_s=\frac{1}{2f_m}\),其中\(f_m=\frac{\omega_m}{2\pi}\).

在本实验中，\(\omega_m=\frac \pi2\)，即采样的频率需要达到\(2\frac{\omega_m}{2\pi}=0.5\text{Hz}\)。所以\(0.5\text{Hz}\)和\(1\text{Hz}\)采样后可以恢复，而\(0.2\text{Hz}\)采样后就不能恢复出原来的波形。

三、实验代码

  1. 实验用代码

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    #include "arrayToPPM.h"
    #define maxn 5005

    const double eps = 1e-11;
    const double PI = 3.1415926535;
    typedef double (*fun_p)(double);

    double F(double omega) {
    	return ((omega >= -0.5 * PI && omega <= 0.5 * PI) ? cos(omega) : 0);
    }

    double fourierTransform(double w, fun_p f, double left, double right, double step) {
    	double ans = 0.0;
    	for (double t = left; t <= right; t += step) {
    		ans = ans + f(t) * cos(w * t) * step;
    	}
    	return ans;
    }

    double fourierInvTransform(double t, fun_p f, double left, double right, double step) {
    	double ans = 0.0;
    	for (double w = left; w <= right; w += step) {
    		ans = ans + f(w) * cos(w * t) * step;
    	}
    	return ans / (2.0 * PI);
    }

    double sample(double t, double fre, double tau) { //时域矩形抽样函数
    	double clc = 1.0 / fre;
    	t = fabs(t);
    	double res = fmod(t, clc);
    	if (res > (clc / 2.0)) res -= clc;
    	return (fabs(res) <= (tau / 2.0) ? 1.0 : 0.0);
    }

    double filter(double w, double fre, double tau) {
    	if (w >= -PI / 2.0 && w <= PI / 2.0)
    		return (1.0 / fre) / tau;
    	else
    		return 0.0;
    }


    int main() {
    	double t[maxn], ft[maxn];
    	PPMdata **matrix;
    	int cnt = 0;
    	double w[maxn], Fw[maxn];
    	for (double w0 = -0.5 * PI - 0.5; w0 <= 0.5 * PI + 0.5; w0 += 0.01) {
    		w[cnt] = w0;
    		Fw[cnt] = F(w0);
    		++cnt;
    	}
    	arrayToPPM("out1.ppm", matrix, w, Fw, 1920, 1080, cnt, 0, 0, 3 * PI, 3, PI / 4.0, 0.5);
    	printf("------task 1 finished------\n");

    	cnt = 0;
    	for (double t0 = -20.0; t0 <= 20.0; t0 += 0.1) {
    		t[cnt] = t0;
    		ft[cnt] = fourierInvTransform(t0, F, -0.5 * PI - 0.5, 0.5 * PI + 0.5, 0.001);
    		++cnt;
    	}
    	arrayToPPM("out2.ppm", matrix, t, ft, 1920, 1080, cnt, 0, 0, 45, 1, 1, 0.03);
    	printf("------task 2 finished------\n");

    	double Fw_2[maxn], Fw_5[maxn], Fw_10[maxn];



    	cnt = 0;
    	for (double w0 = -10.0; w0 <= 10.0; w0 += 0.01) {
    		int j = 0;
    		for (double i = -20.0; i <= 20.0; i += 0.1) { //计算傅里叶积分
    			Fw_2[cnt] += cos(w0 * i) * ft[j] * sample(i, 0.2, 0.01) * 0.01;
    			Fw_5[cnt] += cos(w0 * i) * ft[j] * sample(i, 0.5, 0.01) * 0.01;
    			Fw_10[cnt] += cos(w0 * i) * ft[j] * sample(i, 1.0, 0.01) * 0.01;
    			++j;
    		}
    		w[cnt] = w0;
    		++cnt;
    	}
    	arrayToPPM("out3_1.ppm", matrix, w, Fw_2, 1920, 1080, cnt, 0, 0, 22, 0.1, PI / 4.0, 0.02);
    	arrayToPPM("out3_2.ppm", matrix, w, Fw_5, 1920, 1080, cnt, 0, 0, 22, 0.1, PI / 4.0, 0.02);
    	arrayToPPM("out3_3.ppm", matrix, w, Fw_10, 1920, 1080, cnt, 0, 0, 22, 0.1, PI / 4.0, 0.02);
    	printf("------task 3 finished------\n");

    	double Fw2_fil[maxn], Fw5_fil[maxn], Fw10_fil[maxn];
    	cnt = 0;
    	for (double w0 = -10.0; w0 <= 10.0; w0 += 0.01) {
    		Fw2_fil[cnt] = Fw_2[cnt] * filter(w0, 0.2, 0.01);
    		Fw5_fil[cnt] = Fw_5[cnt] * filter(w0, 0.5, 0.01);
    		Fw10_fil[cnt] = Fw_10[cnt] * filter(w0, 1.0, 0.01);
    		++cnt;
    	}
    	arrayToPPM("out4_1.ppm", matrix, w, Fw2_fil, 1920, 1080, cnt, 0, 0, 22, 4, PI / 4.0, 0.5);
    	arrayToPPM("out4_2.ppm", matrix, w, Fw5_fil, 1920, 1080, cnt, 0, 0, 22, 4, PI / 4.0, 0.5);
    	arrayToPPM("out4_3.ppm", matrix, w, Fw10_fil, 1920, 1080, cnt, 0, 0, 22, 4, PI / 4.0, 0.5);

    	cnt = 0;
    	double ft_2[maxn], ft_5[maxn], ft_10[maxn];
    	for (double t0 = -20.0; t0 <= 20.0; t0 += 0.1) {
    		int j = 0;
    		for (double w0 = -10.0; w0 <= 10.0; w0 += 0.01) {
    			ft_2[cnt] += cos(w0 * t0) * Fw2_fil[j] * 0.01;
    			ft_5[cnt] += cos(w0 * t0) * Fw5_fil[j] * 0.01;
    			ft_10[cnt] += cos(w0 * t0) * Fw10_fil[j] * 0.01;
    			++j;
    		}
    		ft_2[cnt] /= (2.0 * PI);
    		ft_5[cnt] /= (2.0 * PI);
    		ft_10[cnt] /= (2.0 * PI);
    		++cnt;
    	}
    	arrayToPPM("out4-4.ppm", matrix, t, ft_2, 1920, 1080, cnt, 0, 0, 45, 1, 1, 0.03);
    	arrayToPPM("out4-5.ppm", matrix, t, ft_5, 1920, 1080, cnt, 0, 0, 45, 1, 1, 0.03);
    	arrayToPPM("out4-6.ppm", matrix, t, ft_10, 1920, 1080, cnt, 0, 0, 45, 1, 1, 0.03);
    	return 0;
    }

  2. 其中的arratToPPM.h是本人编写的绘图用代码库。文件内容为：

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    #include "stdio.h"
    #include "stdlib.h"
    #include "string.h"
    #include "math.h"

    #define INF 999999999
    #define linerFunc(x1,y1,x2,y2,x) ((x-x1)*(y2-y1)/(x2-x1)+y1)

    typedef struct {
    	int r, g, b;
    } PPMdata;

    int arrayToPPM(char *name,
                   PPMdata **matrix,
                   const double *x,
                   double *y,
                   int width,
                   int height,
                   int arrayLen,
                   double centerX,
                   double centerY,
                   double rangeX,
                   double rangeY,
                   double gridX,
                   double gridY);

    PPMdata makePPMdata(int r, int g, int b);
    int numToMatPos(double num, double center, double range, double picLen);
    void drawMatrix(PPMdata **matrix, int width, int height, int x, int y, PPMdata color);
    void drawPoint(PPMdata **matrix, int width, int height, int x, int y, PPMdata color, int size);
    void matToPPM(char *fileName, PPMdata **matrix, int width, int height);



    PPMdata makePPMdata(int r, int g, int b) {
    	PPMdata ans;
    	ans.r = r, ans.g = g, ans.b = b;
    	return ans;
    }

    int numToMatPos(double num, double center, double range, double picLen) {
    	return (int)(picLen / 2 + (num - center) / range * picLen);
    }

    void drawMatrix(PPMdata **matrix, int width, int height, int x, int y, PPMdata color) {
    	if (x >= width || x < 0 || y >= height || y < 0) return;
    	else matrix[y][x] = color;
    	return;
    }

    void drawPoint(PPMdata **matrix, int width, int height, int x, int y, PPMdata color, int size) {
    	for (int i = -1 * size; i <= size; ++i) {
    		for (int j = -1 * size; j <= size; ++j) {
    			int u = x + i, v = y + j;
    			if (u >= width || u < 0 || v >= height || v < 0) return;
    			else matrix[v][u] = color;
    		}
    	}
    }


    void matToPPM(char *fileName, PPMdata **matrix, int width, int height) {
    	freopen(fileName, "w", stdout);
    	printf("P3\n");
    	printf("%d %d\n", width, height);
    	printf("255\n");
    	for (int i = 0; i < height; ++i) {
    		for (int j = 0; j < width; ++j) {
    			printf("%d %d %d", matrix[i][j].r, matrix[i][j].g, matrix[i][j].b);
    			printf(" ");
    		}
    		printf("\n");
    	}
    	fclose(stdout);
    	freopen("CON", "w", stdout);
    	return;
    }

    int arrayToPPM(char *name,
                   PPMdata **matrix,
                   const double *x,
                   double *y,
                   int width,
                   int height,
                   int arrayLen,
                   double centerX,
                   double centerY,
                   double rangeX,
                   double rangeY,
                   double gridX,
                   double gridY) {

    	matrix = (PPMdata **) malloc(sizeof(PPMdata *) * height);
    	for (int i = 0; i < height; i++) {
    		matrix[i] = (PPMdata *) calloc(width, sizeof(PPMdata));
    	}
    	if (height % 2) ++height;
    	if (width % 2) ++width;
    	double *y_save=(double*)malloc(sizeof(double)*(arrayLen+2));
    	for(int i=0;i<arrayLen;++i) y_save[i]=y[i];
    	for (int i = 0; i < arrayLen; ++i) {
    		y[i] = centerY - (y[i] - centerY);
    	}
    	for (int i = 0; i < arrayLen; ++i) {
    		if (x[i] < x[i - 1] && i >= 1) {
    			fprintf(stderr, "ERROR:X is not increasing.\n");
    			return -1;
    		}
    		if (!(x[i] > centerX - (rangeX / 2.0) && x[i] < centerX + (rangeX / 2.0))) {
    			fprintf(stderr, "ERROR:X out of range.\n");
    			return -1;
    		}
    		if (!(y[i] > centerY - (rangeY / 2.0) && y[i] < centerY + (rangeY / 2.0))) {
    			if (y[i] > centerY + (rangeY / 2.0)) y[i] = centerY + (rangeY / 2.0);
    			if (y[i] < centerY - (rangeY / 2.0)) y[i] = centerY - (rangeY / 2.0);
    		}
    	}
    	PPMdata background, axis, grid, line;
    	background = makePPMdata(255, 255, 251);
    	axis = makePPMdata(28, 28, 28);
    	grid = makePPMdata(189, 192, 186);
    	line = makePPMdata(0, 92, 175);

    	for (int i = 0; i < height; ++i) {
    		for (int j = 0; j < width; ++j) {
    			matrix[i][j] = background;
    		}
    	}

    	for (int i = 0; centerX + i * gridX <= centerX + rangeX / 2; ++i) {
    		for (int j = 0; j < height; ++j) {
    			drawPoint(matrix, width, height, numToMatPos(centerX + i * gridX, centerX, rangeX, width), j, grid, 0);
    			drawPoint(matrix, width, height, numToMatPos(centerX - i * gridX, centerX, rangeX, width), j, grid, 0);
    		}
    	}
    	for (int i = 0; centerY + i * gridY <= centerY + rangeY / 2; ++i) {
    		for (int j = 0; j < width; ++j) {
    			drawPoint(matrix, width, height, j, numToMatPos(centerY + i * gridY, centerY, rangeY, height), grid, 0);
    			drawPoint(matrix, width, height, j, numToMatPos(centerY - i * gridY, centerY, rangeY, height), grid, 0);
    		}
    	}
    	for (int i = 0; i < width; ++i) {
    		drawPoint(matrix, width, height, i, height / 2, axis, 1);
    	}

    	for (int i = 0; i < height; ++i) {
    		drawPoint(matrix, width, height, width / 2, i, axis, 1);
    	}

    	double stepX = rangeX / width;
    	for (double X = centerX - rangeX / 2; X < centerX + rangeX / 2; X += stepX) {
    		int linerIndex = -1;
    		for (int i = 0; i < arrayLen; ++i) {
    			if (X < x[i]) {
    				linerIndex = i - 1;
    				break;
    			}
    		}
    		if (linerIndex == -1) {
    			continue;
    		} else {
    			double u, v, Y;
    			u = numToMatPos(X, centerX, rangeX, width);
    			Y = linerFunc(x[linerIndex], y[linerIndex], x[linerIndex + 1], y[linerIndex + 1], X);
    			v = numToMatPos(Y, centerY, rangeY, height);
    			drawPoint(matrix, width, height, u, v, line, 1);
    		}
    	}

    	matToPPM(name, matrix, width, height);
    	fprintf(stderr, "%s Draw finish!\n",name);
    	for(int i=0;i<height;++i)
    		free(matrix[i]);
    	free(matrix);
    	for(int i=0;i<arrayLen;++i) y[i]=y_save[i];
    	
    	return 0;
    }
技术
#信号与系统 #实验报告
信号与系统实验2：信号的矩形脉冲抽样与恢复
https://suzumiyaakizuki.github.io/2022/05/10/信号报告2/
作者
SuzumiyaAkizuki
发布于
2022年5月10日
许可协议