### 电子工程代写|数字系统设计作业代写Digital System Design代考|ECE4110

statistics-lab™ 为您的留学生涯保驾护航 在代写数字系统设计Digital System Design方面已经树立了自己的口碑, 保证靠谱, 高质且原创的统计Statistics代写服务。我们的专家在代写数字系统设计Digital System Design方面经验极为丰富，各种代写数字系统设计Digital System Design相关的作业也就用不着说。

• Statistical Inference 统计推断
• Statistical Computing 统计计算
• (Generalized) Linear Models 广义线性模型
• Statistical Machine Learning 统计机器学习
• Longitudinal Data Analysis 纵向数据分析
• Foundations of Data Science 数据科学基础

## 电子工程代写|数字系统设计作业代写Digital System Design代考|DETERMINISTIC AND RANDOM SIGNALS

A deterministic signal is a function of one or more independent variables such as time, distance, position, temperature, and pressure. It can be uniquely determined by a well-defined process such as a mathematical expression of one or more independent variables, or by table look up. For example,
$$s(t)=3 \sin (2.1 \pi t+0.3198)$$
is a deterministic signal with independent variable $t$.
There are some important signals that cannot be uniquely represented by these methods, and therefore, they are not deterministic signals. Generally, speech is not considered to be a deterministic signal because it cannot be described functionally by a mathematical expression. However, a recorded segment of speech can be represented, to a high degree of accuracy, as the sum of several sinusoids of different amplitudes and frequencies such as [4]
$$s(t)=\sum_{k=1}^{N} A_{k}(t) \sin \left[2 \pi F_{k}(t) t+\theta_{k}(t)\right]$$
where $A_{k}(t)$ represents the amplitude of sinusoid $k$ at time $t, F_{k}(t)$ represents the frequency of sinusoid $k$ at time $t$, and $\theta_{k}(t)$ represents the phase of sinusoid $k$ at time $t$.

A signal that is determined in a random way and cannot be predicted ahead of time is a random signal. Statistical approaches are often used to analyze random signals. This text primarily covers deterministic signals.

## 电子工程代写|数字系统设计作业代写Digital System Design代考|ELEMENTARY TIME DOMAIN OPERATIONS

The three most basic operations for processing digital signals in the domain of the independent variable, such as the time domain, are scaling, delay, and addition. The scaling operation involves amplification or attenuation for continuous time signals and multiplication for digital signals. This operation can be represented as
$$y(t)=\alpha x(t)$$
for a continuous time system and by
$$y(n)=\alpha x(n)$$
for a discrete time system where $n$ is the sample number.
The delay operation generates a signal that is a delayed replica of the original signal. This can be represented by
$$y(t)=x\left(t-t_{0}\right)$$
for a continuous time signal where the signal is delayed by the amount $t_{0}$. The corresponding representation for the discrete time system is
$$y(n)=x(n-m)$$
where $m$ and $n$ are integers and the signal is delayed by $m$ samples.
Many applications involve two or more signals to generate a new signal. For example,
$$y(t)=x_{1}(t)+x_{2}(t)+x_{3}(t)$$
is a signal generated by the addition of three continuous time signals. Similarly,
$$y(n)=x_{1}(n)+x_{2}(n)+x_{3}(n)$$
is a signal generated by the addition of three discrete time signals.

## 电子工程代写|数字系统设计作业代写Digital System Design代考|DETERMINISTIC AND RANDOM SIGNALS

$$s(t)=3 \sin (2.1 \pi t+0.3198)$$

$$s(t)=\sum_{k=1}^{N} A_{k}(t) \sin \left[2 \pi F_{k}(t) t+\theta_{k}(t)\right]$$

## 电子工程代写|数字系统设计作业代写Digital System Design代考|ELEMENTARY TIME DOMAIN OPERATIONS

$$y(t)=\alpha x(t)$$

$$y(n)=\alpha x(n)$$

$$y(t)=x\left(t-t_{0}\right)$$

$$y(n)=x(n-m)$$

$$y(t)=x_{1}(t)+x_{2}(t)+x_{3}(t)$$

$$y(n)=x_{1}(n)+x_{2}(n)+x_{3}(n)$$

## 广义线性模型代考

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## MATLAB代写

MATLAB 是一种用于技术计算的高性能语言。它将计算、可视化和编程集成在一个易于使用的环境中，其中问题和解决方案以熟悉的数学符号表示。典型用途包括：数学和计算算法开发建模、仿真和原型制作数据分析、探索和可视化科学和工程图形应用程序开发，包括图形用户界面构建MATLAB 是一个交互式系统，其基本数据元素是一个不需要维度的数组。这使您可以解决许多技术计算问题，尤其是那些具有矩阵和向量公式的问题，而只需用 C 或 Fortran 等标量非交互式语言编写程序所需的时间的一小部分。MATLAB 名称代表矩阵实验室。MATLAB 最初的编写目的是提供对由 LINPACK 和 EISPACK 项目开发的矩阵软件的轻松访问，这两个项目共同代表了矩阵计算软件的最新技术。MATLAB 经过多年的发展，得到了许多用户的投入。在大学环境中，它是数学、工程和科学入门和高级课程的标准教学工具。在工业领域，MATLAB 是高效研究、开发和分析的首选工具。MATLAB 具有一系列称为工具箱的特定于应用程序的解决方案。对于大多数 MATLAB 用户来说非常重要，工具箱允许您学习应用专业技术。工具箱是 MATLAB 函数（M 文件）的综合集合，可扩展 MATLAB 环境以解决特定类别的问题。可用工具箱的领域包括信号处理、控制系统、神经网络、模糊逻辑、小波、仿真等。