Stochastic Signal Processing

Ian Young · iOS

Stochastic Signal Processing

Explore the ad evidence, study the storefront, and build your next acquisition hypothesis.

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01 / Creative research

Turn the unknowns into a research plan.

01

Check the acquisition promise

Read the store headline, screenshots and description. What problem is the app promising to solve?

Study the storefront ↗
02

Look for ad evidence

Explore apps with direct store-link matches. Compare their hooks and formats without assuming the same approach works here.

Browse observed advertisers ↗
03

Separate demand from paid growth

Store rankings and revenue estimates describe market context. They do not establish ad spend, conversions or ROAS.

Review the market context ↗

02 / Storefront & product

Where the click lands.

Study the product story and store experience behind the acquisition funnel.

Screenshots

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03 / Market context

The business behind the app.

Keep revenue, downloads and store rankings separate from advertising performance.

How Much Does Stochastic Signal Processing Make?

Monthly Revenue
$1.0K
Annualized estimate
$12.0K
Per Download
$1.00

Platform Performance

🍎iOS
Revenue
$1.0K
Downloads
1.0K
Rating
4.6 ★(5)

Rating Distribution

4.6
★★★★★
5 reviews
5
0%
4
0%
3
20%
2
0%
1
80%

Top Countries

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Reviews (3)▼
★★★☆☆AlKatz94/18/2021
Displayed Info Stuck in Landscape Mode

After rotating smartphone to landscape mode, the displayed info would not return to portrait mode. Restarting device did not resolve problem. Did not re-install app due to limited data available for device.

★★★★★Cris Luengo2/3/2019
This is an excellent textbook by an excellent educator.

Prof. I.T. (Ted) Young was, by far, the best lecturer I had the fortune of learning from during my college years. He inspired me to become an educator myself. I’m glad to see he’s still finding ways to inspire new generations of students. This textbook provides a clear and concise exposition of stochastic signal processing as typically taught to 3rd or 4th year college students. It presents the topic in a manner that encourages thinking about the meaning behind the equations, and encourages exploration. The exercises ask all the right questions to ensure students will want to dig deep and really understand the underlying concepts. This being a digital book, it has the advantage of including the examples and live demos you’d give during a lecture. There are audio and video snippets, as well as interactive experiments that are fun and highly instructive. What is missing in the book is Ted’s wonderful delivery and his uncanny ability to know when to lighten the load with one of his anecdotes. You’ll have to try to catch him in a lecture room for that.

★★★★★EntropyNinja2/2/2019
The best!

If you’re looking for stochastic signal processing book, this is the one for you!

Version History (37)▼
1.12.611/26/2025
1.12.54/30/2025
1.12.48/24/2023
1.12.32/25/2022
1.12.212/2/2021
1.12.111/19/2021
1.12.010/27/2021
1.11.38/29/2021
1.11.28/25/2021
1.11.16/8/2021
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Supported Languages (1)▼
English
App Details▼

Speech, music, seismic vibrations, oil prices, and climate measurements are all examples of stochastic (random) signals. In this textbook—intended for...

iOS App ID
1450268179
Content Rating
4+
Min OS
12.0
Size
71.4 MB
Publisher
Ian Young