Minimum filter order
API · /chebyshev-api
Chebyshev Filter API
Chebyshev Type I filter-design maths as an API, computed locally and deterministically. The order endpoint computes the minimum filter order to meet a specification, n = ⌈acosh(√((10^(As/10)−1)/(10^(Ap/10)−1))) / acosh(fs/fp)⌉, from the passband edge frequency and its ripple and the stopband edge and its required attenuation — a Chebyshev filter usually needs a lower order than a Butterworth for the same specification, trading a flat passband for equiripple. The response endpoint computes the equiripple magnitude response, |H| = 1/√(1 + ε²·Tₙ²(f/fc)) with the ripple factor ε = √(10^(Ap/10) − 1) and the Chebyshev polynomial Tₙ, in linear and decibel form — in the passband the magnitude ripples between 0 and −Ap dB and reaches exactly −Ap dB at the cutoff, then rolls off faster than a Butterworth. The ripple endpoint converts between the passband ripple in decibels and the ripple factor ε, with the passband maximum and minimum. Frequencies are in hertz, ripple and attenuation in decibels and the order a positive integer. Everything is computed locally and deterministically, so it is instant and private. Ideal for DSP, audio, RF, communications and instrumentation app developers, filter-design and selectivity tools, and signal-processing education. Pure local computation — no key, no third-party service, instant. Live, nothing stored. 3 endpoints. This is the Chebyshev Type I filter; for the maximally-flat Butterworth use a Butterworth API.
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Correlato APIs
Altro APIs con tag sovrapposti.
Butterworth Filter API
Butterworth-filter design maths as an API, computed locally and deterministically. The order endpoint computes the minimum filter order needed to meet a specification — from the passband edge frequency and its allowed ripple and the stopband edge frequency and its required attenuation it returns the exact and rounded-up order, n = ⌈log10((10^(As/10)−1)/(10^(Ap/10)−1)) / (2·log10(fs/fp))⌉, where each extra order adds 20 dB per decade of roll-off. The response endpoint computes the maximally-flat magnitude response of an n-th order Butterworth filter at a frequency, |H| = 1/√(1 + (f/fc)^(2n)), in linear and decibel form with the attenuation and the asymptotic roll-off — the response is exactly −3.01 dB at the cutoff for any order. The poles endpoint gives the s-plane pole locations, equally spaced on a circle of radius ωc in the left half-plane at angles π·(2k+n−1)/(2n), all stable. Frequencies are in hertz (or any consistent unit), ripple and attenuation in decibels and the order a positive integer. Everything is computed locally and deterministically, so it is instant and private. Ideal for DSP, audio, RF, instrumentation and embedded app developers, anti-aliasing and filter-design tools, and signal-processing education. Pure local computation — no key, no third-party service, instant. Live, nothing stored. 3 endpoints. This is the Butterworth filter; for a single-pole RC cutoff and resonance use a resonance API and for AC impedance an impedance API.
api.oanor.com/butterworth-api
CSV API
Un kit de herramientas de datos CSV rápido y completamente local: analiza CSV en objetos de fila tipados (RFC-4180), calcula estadísticas por columna (recuento, únicos, tipo y valores principales, y para columnas numéricas mínimo, máximo, media, mediana y suma), elimina filas duplicadas por todas o un subconjunto de columnas, ordena por una columna con ordenación numérica, y filtra filas por una condición (igual, no igual, mayor/menor que, contiene, comienza con, vacío, no vacío). Cada endpoint acepta entrada a través de la cadena de consulta o el cuerpo de la solicitud, hasta 2 MB, y devuelve tanto objetos de fila como una cadena CSV. Cómputo puro del lado del servidor, sin terceros externos, por lo que las respuestas son instantáneas y siempre están disponibles. Ideal para manipulación de datos, ETL, preparación de análisis, herramientas de hojas de cálculo y limpieza de datos. (Para conversión simple de CSV a JSON, consulte la API JSON de oanor.)
api.oanor.com/csv-api
ADC & DAC Converter API
ADC/DAC data-converter maths as an API, computed locally and deterministically. The resolution endpoint turns a bit depth into the number of quantization levels (2^N), the LSB step for a given reference voltage (in V, mV and µV), the full-scale range, the ideal signal-to-noise ratio (6.02·N + 1.76 dB) and dynamic range, and — given an input voltage — the digital output code. The sampling endpoint covers Nyquist: the minimum sample rate for a signal bandwidth (2·f_max), the Nyquist frequency for a sample rate (fs/2), whether a signal is adequately sampled, and the alias frequency a tone folds to, |f_in − round(f_in/fs)·fs|. The quantization endpoint gives the maximum quantization error (LSB/2), the rms quantization noise (LSB/√12), the ideal SNR, and the effective number of bits (ENOB = (SNR − 1.76)/6.02) from a measured SNR. Everything is computed locally and deterministically, so it is instant and private. Ideal for embedded, DSP, audio and instrumentation app developers, data-acquisition and converter-selection tools, and electronics education. Pure local computation — no key, no third-party service, instant. Live, nothing stored. 3 endpoints. This is data-converter & sampling maths; for media bitrate and file size use a bitrate API and for AC reactance and resonance use a resonance API.
api.oanor.com/adc-api
Voltage Divider API
Resistive voltage-divider circuit design as an API, computed locally and deterministically. The divide endpoint takes an input voltage and two resistors and returns the output voltage Vout = Vin·R2/(R1+R2), the current I = Vin/(R1+R2) that flows through the chain, and the power dissipated in each resistor and in total — a 12 V source with R1 = 1 kΩ and R2 = 2 kΩ gives 8 V at 4 mA. The loaded endpoint adds a load resistor across R2, computes the parallel combination R2′ = R2·RL/(R2+RL) and the loaded output Vout = Vin·R2′/(R1+R2′), and reports the droop in volts and percent against the unloaded value, the classic mistake when a divider feeds a real load. The resistor endpoint sizes the missing resistor for a target output — R2 = R1·Vout/(Vin−Vout) or R1 = R2·(Vin−Vout)/Vout — so you can pick parts for a reference or sensor-bias point. All quantities are volts, ohms, amps and watts. Everything is computed locally and deterministically, so it is instant and private. Ideal for electronics, embedded, hardware, sensor-interfacing and EE-education app developers, reference-voltage and bias-network tools, and maker software. Pure local computation — no key, no third-party service, instant. Live, nothing stored. 3 endpoints. This is the resistive divider; for a single Ohm’s-law relationship use an Ohm’s-law API and for RC/RL filters an RC-filter API.
api.oanor.com/voltagedivider-api
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curl https://api.oanor.com/chebyshev-api/SOME_PATH \
-H "x-oanor-key: oanor_test_..."
const res = await fetch("https://api.oanor.com/chebyshev-api/SOME_PATH", {
headers: { "x-oanor-key": "oanor_test_..." }
});
const data = await res.json();
$ch = curl_init("https://api.oanor.com/chebyshev-api/SOME_PATH");
curl_setopt($ch, CURLOPT_RETURNTRANSFER, true);
curl_setopt($ch, CURLOPT_HTTPHEADER, ["x-oanor-key: oanor_test_..."]);
$response = curl_exec($ch);
import requests
r = requests.get(
"https://api.oanor.com/chebyshev-api/SOME_PATH",
headers={"x-oanor-key": "oanor_test_..."},
)
print(r.json())
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