Python - Scicoding (Page 2)

Scicoding

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How to do Spectrogram in Python

How to do Spectrogram in Python

Learn how to do spectrogram in Python using the essential signal processing packages.

How to Calculate QR Decomposition in Python

How to Calculate QR Decomposition in Python

QR decomposition is one of the essential matrix factorization techniques. It simplifies numerous computational tasks making it a necessary ingredient in many engineering and scientific algorithms and applications. One of the key advantages of QR decomposition is its role in solving linear least-squares problems. It transforms the original problem into

How to Calculate Correlation using NumPy

Signal processing

How to Calculate Correlation using NumPy

Correlation is a statistical technique that shows how strongly two variables are related. In the field of data science and machine learning, correlation analysis is a critical initial step to understand the relationships between different variables in your dataset. This article aims to guide you through calculating correlation with NumPy,

How to Use Scikit-Learn for Principal Component Analysis (PCA)

How to Use Scikit-Learn for Principal Component Analysis (PCA)

If you're exploring data science, machine learning, or are already seasoned in these fields, you've likely come across Principal Component Analysis (PCA). It's a powerful statistical method that exposes fundamental structure of data in a way that best explains its variance. Put in more simple terms, PCA reduces the dimensionality

How to visualize CSV files using Python

How to visualize CSV files using Python

The ability to plot CSV files using Python is important because it enables you to analyze, visualize, and process data efficiently and effectively. This, in turn, facilitates data-driven decision-making and better communication of results. There are various benefits of using both CSV and Python for analysis: 1. Versatility: CSV files

Getting Started with Pybind11

Getting Started with Pybind11

Pybind11 is a lightweight header-only library that provides a means to create Python bindings for C++ code. It is a popular choice for exposing C++ classes, functions, and other components to Python, enabling seamless interaction between the two languages. Pybind11 makes it easy to create Python extension modules using C+

How to Calculate Matrix Inverse in Python

How to Calculate Matrix Inverse in Python

Matrix inversion is one of the fundamental operations in linear algebra. It's analogous to division in ordinary algebra. Thus, making it crucial, for example, when solving many linear systems. All essential Python linear algebra libraries support matrix inversion. We will have a look two most popular ones: NumPy and SciPy.

How to Calculate Cholesky Decomposition in Python

How to Calculate Cholesky Decomposition in Python

Cholesky decomposition is a widely used matrix factorization method for hermitian positive-definite matrices. It provides many computational benefits for varying algorithms, such as solving linear systems. We go through how to calculate Cholesky decomposition using the essential scientific computation libraries for Python: NumPy & SciPy. Additionally, we go show you a

How to Calculate Singular Value Decomposition (SVD) in Python

How to Calculate Singular Value Decomposition (SVD) in Python

Singular value decomposition (SVD) is one of the most significant matrix decomposition techniques. It should be in the toolbox of anyone working on linear algebra. Python has many great packages that provide support for basic linear algebra. We will go through some of these, and also see how to create

Python PCA using SKLearn for Image Compression Application

Python PCA using SKLearn for Image Compression Application

Principal component analysis (PCA) provides an intuitive and analytically sound basis for various applications. Image compression is one of the most applied uses of PCA. We are utilizing scikit-learn or sklearn for short to perform the heavy lifting in principal component analysis. No point in reinventing the wheel, by implementing

How to Calculate Percentile in Python?

How to Calculate Percentile in Python?

Percentiles are among the most common tools for statistical analysis. They are used to determine a number (score) under which a given percentage of samples fall into. For instance, the 50% percentile is essentially the median, the value under which half of the samples fall into. I will walk through

4 Ways to Calculate Convolution in Python

4 Ways to Calculate Convolution in Python

How to calculate convolution in Python. Here are the 3 most popular python packages for convolution + a pure Python implementation.

Calculating Power Spectral Density in Python

Calculating Power Spectral Density in Python

How to calculate power spectral density (PSD) in Python using the essential signal processing packages.

Exploring the Best Python Libraries for Data Visualization

Exploring the Best Python Libraries for Data Visualization

Introduction to essential data visualization libraries for data scientists. Find the best package to visualize your data.

How to Do Cross-Correlation in Python: 4 Different Methods

How to Do Cross-Correlation in Python: 4 Different Methods

💡Update 22.6.2022: Fixed date set generation. Cross-correlation is a basic signal processing method, which is used to analyze the similarity between two signals with different lags. Not only can you get an idea of how well the two signals match with each other, but you also get the

Convex Optimization in Python: 3 Essential Packages

Convex Optimization in Python: 3 Essential Packages

Python has taken a big role in scientific computation and engineering. Packages, such as NumPy and SciPy, are heavily relied on in various computational applications and day-to-day research. How about computational optimization? We will have a look at the 3 most popular Python packages for computational optimization. More specifically, we

Python for Time Series Analysis: 4 Techniques for Autocorrelation Function Calculation

Python for Time Series Analysis: 4 Techniques for Autocorrelation Function Calculation

Autocorrelation is a function that provides a correlation of a data set with itself on different delays (lags). This has many applications in statistics and signal processing. This subject was touched on in our previous post on how to write a pitch detection algorithm in Python using autocorrelation. Also if

Pitch detection using Python and autocorrelation

Pitch detection using Python and autocorrelation

Pitch detection algorithm in python. Using autocorrelation as the dominant frequency detection tool.

Working with pointer arrays in pybind11

Working with pointer arrays in pybind11

Pybind11 provides convient interface for C++ API. This header-only library is lightweight, easy to build, and include in a CMake project. In this post, I'm going to tackle a specific problem of working with pointer arrays in your C++ API.

Water-filling algorithm explained and implemented in Python

Water-filling algorithm explained and implemented in Python

In this post, I'm going to show you how the water-filling algorithm works, and how to implement it in Python. For a more in-depth overview of the water-filling algorithm, check our post showing the algorithm's behavior and derivation. The water-filling algorithm: in-depth explanationAn in-depth explanation of how the water-filling algorithm

How to solve orthogonal channel sum-rate maximization with CVXPY?

How to solve orthogonal channel sum-rate maximization with CVXPY?

The optimization tools and numerical computation tools for Python have come a long way. These days you can formulate and solve complex problems with only a couple of lines of code. In this post, I am going to show you how to formulate and solve the sum rate (throughput) maximization