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Bode Magnitude and Phase Analysis Simulation

Advanced Bode Plot & Logarithmic Frequency Simulator SYSTEM DYNAMICS: BODE MAGNITUDE & PHASE ANALYSIS Precision Frequency Domain Simulation with Exact Transfer Functions System Transfer Function $H(s)$ Low-Pass Filter (1 / (1 + s/ωc)ⁿ) High-Pass Filter ((s/ωc)ⁿ / (1 + s/ωc)ⁿ) Pure Integrator (1 / (s/ωc)ⁿ) Filter Order / Poles ($n$) n = 1 n = 2 n = 3 Corner Frequency ($f_c$): 1000 Hz Display Overlays Show Asymptotic Lines Show Actual Physical Curve THEORETICAL SLOPES: Decade Rate: -20.0 dB/dec Octave Rate: -6.02 dB/oct At $2f_c$ (+1 Octave): -3.01 dB actual At $10f_c$ (+1 Decade): -10.04 dB...

Time-Bandwidth Product and Pulse Shaping

Time-Bandwidth Product, GMSK, and Pulse Shaping: A Comprehensive Guide Understanding Time-Bandwidth Product (TBP): From Raised Cosine to GMSK Exploring the trade-off between signal duration, spectral width, and system performance. 1. What is the Time-Bandwidth Product (TBP)? The Time-Bandwidth Product (TBP) is a fundamental metric in signal processing that defines the relationship between a signal's duration ($\Delta t$) and its spectral width ($\Delta f$). It is the signal-processing equivalent of the Heisenberg Uncertainty Principle . $$TBP = B \times T$$ Where $B$ is the bandwidth and $T$ is the symbol duration (or pulse width). No signal can be simultaneously "t...

FIR Filter Simulation

Ultimate FIR Filter Interactive Lab FIR Filter & LTI System Lab A visual workflow for understanding Discrete-Time Convolution 1 Define Input Signal $x[n]$ Signal Type Clean Sine Wave Sine Wave + White Noise Unit Impulse δ[n] Square Wave Frequency (Hz) This is your raw data. In an LTI system, we want to modify this signal's characteristics. 2 Define Filter $h[k]$ Filter Presets (Coefficients) Moving Average (Low Pass) Simple Differentiator (High Pass) Gaussian-like (Smooth LP) ...

Effect of an LTI Filter on Signal Mean and Variance

Effect of an LTI Filter on Signal Mean and Variance | Complete Guide Why Do Mean and Variance Change After Passing Through an LTI Filter? One of the most common questions in Digital Signal Processing (DSP) is: "Why does the mean or variance of a random signal change after passing through a Linear Time-Invariant (LTI) filter?" Understanding this concept is essential for topics such as random processes, communication systems, estimation theory, adaptive filtering, and noise analysis. This article explains the mathematics, intuition, and physical interpretation behind the change in signal statistics after LTI filtering. What is an LTI Filter? A Linear Time-Invariant (LTI) filter is completely characterized by its impulse response h[n] . If the input signal is x[n] then the output is obtained using convolution: y[n] = h[n] * x[n] Every output sample is a weighted combination of several input samples. Therefore, the st...

3rd and 4th Order Filters Simulation

High-Order System Simulator System Configuration 3RD ORDER 4TH ORDER STAGE 1 (2nd Order Section) Damping (ζ₁) 0.707 Frequency (ωn₁) 1000 STAGE 2 (2nd Order Section) Damping (ζ₂) 0.707 Frequency (ωn₂) 1000 -80 dB/DECADE Higher Order Control Theory A 4th Order System is the result of multiplying two 2nd-order transfer functions: H(s) = H₁(s) × H₂(s) . In the frequency domain, this means their magnitudes add (in dB) and their phases add . ...

1st and 2nd-order Filters Simulation

Circuit Configurator Resistor (R) 150 Ω Inductor (L) 50 mH Capacitor (C) 10 μF H(s) = ... Roll-off: -40 dB/dec Cutoff (fc): -- Damping & System Behavior 1. The Damping Ratio (ζ) In an RLC circuit, damping is determined by the ratio of energy dissipated (R) to energy stored (L, C). The formula is: ζ = (R/2) * √(C/L) ζ Occurs when R is small. You will see a "resonant ...

RLC Circuit & Damping Ratio Simulator

System Analyzer COMPONENTS (RLC) SYSTEM (ζ, ωn) Resistance (R) 100 Ω Inductance (L) 10 mH Capacitance (C) 10 μF Damping Ratio (ζ) 0.7 Natural Freq (ωn) 1000 rad/s H(s) = ω n 2 s 2 + 2ζω n s + ω n 2 ROLL-OFF -40 dB/dec CUTOFF (f c ) 159 Hz ...

Sallen-Key filter Simulation (2nd order LPF)

  Sallen-Key Filter Explained: Why It’s the Most Popular Second-Order Low-Pass Filter Sallen-Key Filter Explained: Why It’s the Most Popular Second-Order Low-Pass Filter (With Math) If you're learning analog electronics, active filters, or preparing for engineering interviews and exams, you've probably come across the Sallen-Key filter . But what exactly is it, and why do engineers prefer it over simply cascading RC low-pass filters? Live Interactive Simulator Adjust the component values to see the real-time frequency response (Bode Plot). R1 (kΩ): 10 R2 (kΩ): 10 C1 (nF): 10 C2 (nF): 10 ...


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