matble 一维滤波器
时间: 2023-08-02 19:11:06 浏览: 154
在 MATLAB 中,你可以使用 `filter` 函数来进行一维滤波操作。下面是一个示例代码,演示如何使用 `filter` 函数进行一维滤波:
```matlab
% 输入信号
x = [1, 2, 3, 4, 5];
% 滤波器系数
b = [0.25, 0.5, 0.25]; % FIR 滤波器系数
% 一维滤波
y = filter(b, 1, x);
% 输出滤波后的结果
disp(y);
```
在这个示例中,输入信号 `x` 是一个包含五个元素的一维向量。滤波器系数 `b` 是一个包含三个元素的一维向量,表示 FIR 滤波器的系数。
`filter` 函数的第一个参数是滤波器的系数向量 `b`,第二个参数是滤波器的分母系数向量 `a`,在这里我们使用了 1 表示无分母系数(即 FIR 滤波器)。第三个参数是输入信号向量 `x`。
滤波后的结果存储在变量 `y` 中,并通过 `disp` 函数输出。
请注意,这只是一个简单的示例,你可以根据自己的需求调整输入信号和滤波器系数。
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matble爱心代码
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<html>
<head>
<title></title>
</head>
<style>
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html,
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/*
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size: 30 // particle size in pixels
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};
/*
* RequestAnimationFrame polyfill by Erik M?ller
*/
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var b = 0;
var c = ["ms", "moz", "webkit", "o"];
for (var a = 0; a < c.length && !window.requestAnimationFrame; ++a) {
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/*
* Point class
*/
var Point = (function () {
function Point(x, y) {
this.x = typeof x !== "undefined" ? x : 0;
this.y = typeof y !== "undefined" ? y : 0;
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Point.prototype.clone = function () {
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Point.prototype.length = function (length) {
if (typeof length == "undefined")
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this.normalize();
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/*
* Particle class
*/
var Particle = (function () {
function Particle() {
this.position = new Point();
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this.age = 0;
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/*
* ParticlePool class
*/
var ParticlePool = (function () {
var particles,
firstActive = 0,
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duration = settings.particles.duration;
function ParticlePool(length) {
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};
ParticlePool.prototype.update = function (deltaTime) {
var i;
// update active particles
if (firstActive < firstFree) {
for (i = firstActive; i < firstFree; i++)
particles[i].update(deltaTime);
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if (firstFree < firstActive) {
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for (i = 0; i < firstFree; i++) particles[i].update(deltaTime);
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particles[firstActive].age >= duration &&
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) {
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if (firstActive == particles.length) firstActive = 0;
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// draw active particles
if (firstActive < firstFree) {
for (i = firstActive; i < firstFree; i++)
particles[i].draw(context, image);
}
if (firstFree < firstActive) {
for (i = firstActive; i < particles.length; i++)
particles[i].draw(context, image);
for (i = 0; i < firstFree; i++) particles[i].draw(context, image);
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/*
* Putting it all together
*/
(function (canvas) {
var context = canvas.getContext("2d"),
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settings.particles.length / settings.particles.duration, // particles/sec
time;
// get point on heart with -PI <= t <= PI
function pointOnHeart(t) {
return new Point(
160 * Math.pow(Math.sin(t), 3),
130 * Math.cos(t) -
50 * Math.cos(2 * t) -
20 * Math.cos(3 * t) -
10 * Math.cos(4 * t) +
25
);
}
// creating the particle image using a dummy canvas
var image = (function () {
var canvas = document.createElement("canvas"),
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point.x =
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point.y =
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// render that thing!
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// handle (re-)sizing of the canvas
function onResize() {
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// delay rendering bootstrap
setTimeout(function () {
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</body>
</html>
```
![示例图片](https://devbit-static.oss-cn-beijing.aliyuncs.com/devbit-static/img/heart.png)
matble位宽运算符
### 关于 MATLAB 中位宽运算符的信息
MATLAB 主要用于数值计算、算法开发以及数据分析等领域,在处理定点数运算时涉及到位宽的概念。然而,MATLAB 并未直接定义所谓的“位宽运算符”,而是通过 Fixed-Point Designer 工具箱来支持固定点算术操作[^1]。
Fixed-Point Designer 提供了一系列函数和对象,允许用户指定数据类型的字长(即位宽)和小数长度,从而实现精确控制数值表示范围和精度的目的。对于希望模拟硬件行为的应用场景来说非常重要。
#### 创建固定点变量的例子
```matlab
% 定义一个带符号的8位整数
a = fi(5, true, 8)
% 查看该fi对象的具体属性
get(a)
```
上述代码展示了如何创建一个具有特定位宽的 `fi` 对象,并查看其属性。这里的第二个参数指明是否有符号;第三个参数则设定了总的位宽度。
为了进一步探索与位宽有关的操作,可以利用如下几个重要概念:
- **fimath 属性**:设置舍入模式、溢出动作等影响四则运算结果的行为。
- **numerictype 类型**:描述了具体的量化方式,包括但不限于总位数、分数部分所占位数等细节。
需要注意的是,虽然 MATLAB 不提供传统意义上的位移或按位逻辑运算作为内置运算符的一部分,但是可以通过调用相应的方法来进行这些低级比特级别的操作。
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